Ultrasound imaging method and system, and storage medium
Abstract
An ultrasound imaging system that performs real-time ultrasound imaging of tissue to be imaged, generates a series of ultrasound images and parameter measurement results; displays a decision tree regarding the tissue to be imaged, the decision tree comprising nodes, the nodes comprising a root node, a plurality of internal nodes and a plurality of leaf nodes, the root node linking separately to each of the plurality of leaf nodes by means of a predetermined number of internal nodes to form a plurality of links, and each of the plurality of leaf nodes corresponding to a diagnostic result respectively; automatically matches the parameter measurement results with each of the nodes according to the at least one decision condition; and automatically updates the display of the decision tree according to the results of the automatic matching.
Claims
exact text as granted — not AI-modifiedThe invention claimed is:
1 . An ultrasound imaging method, comprising:
performing real-time ultrasound imaging of tissue to be imaged; generate a series of ultrasound images and parameter measurement results; displaying a decision tree regarding the tissue to be imaged, the decision tree comprising nodes, the nodes comprising a root node, a plurality of internal nodes, and a plurality of leaf nodes, the root node and each internal node comprising at least one decision condition, respectively, the root node linking separately to each of the plurality of leaf nodes by means of a predetermined number of internal nodes to form a plurality of links, the predetermined number being determined by the decision conditions, and each of the plurality of leaf nodes corresponding to a diagnostic result, respectively; automatically matching the parameter measurement results with each of the nodes according to the at least one decision condition; and automatically updating the display of the decision tree according to the results of the automatic matching.
2 . The method according to claim 1 , wherein automatically updating the display of the decision tree according to the results of the automatic matching comprises:
highlighting, in a first manner, at least one node that matches the parameter measurement results; and/or highlighting, in a second manner, a node to be matched, wherein the node to be matched links to an end node among the at least one node and does not match the parameter measurement results.
3 . The method according to claim 2 , wherein automatically updating the display of the decision tree according to the results of the automatic matching further comprises:
displaying an alert message regarding the node to be matched, the alert message comprising information regarding parameter measurements required to match with the node to be matched.
4 . The method according to claim 1 , wherein the method further comprises:
acquiring new parameter measurement results; performing new automatic matching of the new parameter measurement results; and automatically updating the display of the decision tree according to the results of the new automatic matching.
5 . The method according to claim 1 , wherein:
the tissue to be imaged comprises a heart, and the diagnostic results relate to left ventricular diastolic function.
6 . The method according to claim 1 , wherein displaying a decision tree regarding the tissue to be imaged comprises:
displaying a first button in a first interface associated with the real-time ultrasound imaging, the first button being capable of being triggered to open a second interface containing the decision tree; and displaying the second interface in response to the first button being triggered.
7 . The method according to claim 6 , wherein the second interface further comprises:
a minimization button capable of being triggered to minimize the second interface and a maximization button capable of being triggered to maximize the second interface.
8 . The method according to claim 7 , wherein the method further comprises:
in response to the minimization button being triggered, displaying the second interface in a reduced manner in which at least a portion of the first interface is not blocked; and in response to the maximization button being triggered, displaying the second interface in a maximized manner.
9 . The method according to claim 6 , wherein:
the second interface is overlappingly displayed on the first interface; or, the second interface and the first interface are displayed on different display devices.
10 . An ultrasound imaging system, comprising:
a memory storing instructions; and a processor configured to execute the instructions to:
perform real-time ultrasound imaging of tissue to be imaged;
generate a series of ultrasound images and parameter measurement results;
display a decision tree regarding the tissue to be imaged, the decision tree comprising nodes, the nodes comprising a root node, a plurality of internal nodes, and a plurality of leaf nodes, the root node and each internal node comprising at least one decision condition, respectively, the root node linking separately to each of the plurality of leaf nodes by means of a predetermined number of internal nodes to form a plurality of links, the predetermined number being determined by the decision conditions, and each of the plurality of leaf nodes corresponding to a diagnostic result, respectively;
automatically match the parameter measurement results with each of the nodes according to the at least one decision condition; and
automatically update the display of the decision tree according to the results of the automatic matching.
11 . The system according to claim 10 , wherein the ultrasound imaging system further comprises a display device, the display device receiving instructions from the processor to then display a corresponding interface.
12 . The system according to claim 11 , wherein the display device comprises two display devices, one of which is a touch screen.
13 . The system according to claim 11 , wherein automatically updating the display of the decision tree according to the results of the automatic matching comprises:
highlighting, in a first manner, at least one node that matches the parameter measurement results; and/or highlighting, in a second manner, a node to be matched, wherein the node to be matched links to an end node among the at least one node and does not match the parameter measurement results.
14 . The system according to claim 13 , wherein automatically updating the display of the decision tree according to the results of the automatic matching further comprises:
displaying an alert message regarding the node to be matched, the alert message comprising information regarding parameter measurements required to match with the node to be matched.
15 . The system according to claim 11 , wherein displaying a decision tree regarding the tissue to be imaged comprises:
displaying a first button in a first interface associated with the real-time ultrasound imaging, the first button being capable of being triggered to open a second interface containing the decision tree; and displaying the second interface in response to the first button being triggered.
16 . A non-transitory computer-readable storage medium for storing a computer program that, when executed by a computer, causes the computer to execute the method:
performing real-time ultrasound imaging of tissue to be imaged; generate a series of ultrasound images and parameter measurement results; displaying a decision tree regarding the tissue to be imaged, the decision tree comprising nodes, the nodes comprising a root node, a plurality of internal nodes, and a plurality of leaf nodes, the root node and each internal node comprising at least one decision condition, respectively, the root node linking separately to each of the plurality of leaf nodes by means of a predetermined number of internal nodes to form a plurality of links, the predetermined number being determined by the decision conditions, and each of the plurality of leaf nodes corresponding to a diagnostic result, respectively; automatically matching the parameter measurement results with each of the nodes according to the at least one decision condition; and automatically updating the display of the decision tree according to the results of the automatic matching.
17 . The method according to 16 , wherein automatically updating the display of the decision tree according to the results of the automatic matching comprises:
highlighting, in a first manner, at least one node that matches the parameter measurement results; and/or highlighting, in a second manner, a node to be matched, wherein the node to be matched links to an end node among the at least one node and does not match the parameter measurement results.
18 . The method according to claim 16 , wherein automatically updating the display of the decision tree according to the results of the automatic matching further comprises:
displaying an alert message regarding the node to be matched, the alert message comprising information regarding parameter measurements required to match with the node to be matched.
19 . The method according to claim 16 , wherein displaying a decision tree regarding the tissue to be imaged comprises:
displaying a first button in a first interface associated with the real-time ultrasound imaging, the first button being capable of being triggered to open a second interface containing the decision tree; and displaying the second interface in response to the first button being triggered.
20 . The method according to claim 16 , wherein the method further comprises:
acquiring new parameter measurement results; performing new automatic matching of the new parameter measurement results; and automatically updating the display of the decision tree according to the results of the new automatic matching.
21 . The method according to claim 16 , wherein the tissue to be imaged comprises a heart, and the diagnostic results relate to left ventricular diastolic function.Cited by (0)
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